Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	1629
Missing cells	2229
Missing cells (%)	7.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	229.2 KiB
Average record size in memory	144.1 B

Variable types

Text	14
Categorical	1
Numeric	3

Alerts

`is_adult` has constant value ""	Constant
`poster_path` has 103 (6.3%) missing values	Missing
`story` has 20 (1.2%) missing values	Missing
`tagline` has 1072 (65.8%) missing values	Missing
`wins_nominations` has 922 (56.6%) missing values	Missing
`release_date` has 107 (6.6%) missing values	Missing
`wiki_link` has unique values	Unique

Reproduction

Analysis started	2023-11-12 15:23:57.316186
Analysis finished	2023-11-12 15:24:00.299398
Duration	2.98 seconds
Software version	ydata-profiling vv4.6.1
Download configuration	config.json

title_x
Text

Distinct	1625
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

Length

Max length	46
Median length	30
Mean length	16.04911
Min length	3

Characters and Unicode

Total characters	26144
Distinct characters	79
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1621 ?
Unique (%)	99.5%

Sample

1st row	Uri: The Surgical Strike
2nd row	Battalion 609
3rd row	The Accidental Prime Minister (film)
4th row	Why Cheat India
5th row	Evening Shadows

Value	Count	Frequency (%)
film	462	9.9%
the	95	2.0%
hai	54	1.2%
of	37	0.8%
ki	37	0.8%
ek	35	0.7%
dil	34	0.7%
2	31	0.7%
love	30	0.6%
pyaar	26	0.6%
Other values (2291)	3829	82.0%

Most occurring characters

Value	Count	Frequency (%)
	3041	11.6%
a	3008	11.5%
i	1780	6.8%
e	1420	5.4%
n	1062	4.1%
l	1037	4.0%
h	1020	3.9%
r	988	3.8%
o	928	3.5%
m	836	3.2%
Other values (69)	11024	42.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16831	64.4%
Uppercase Letter	3771	14.4%
Space Separator	3041	11.6%
Decimal Number	1292	4.9%
Close Punctuation	460	1.8%
Open Punctuation	460	1.8%
Other Punctuation	251	1.0%
Dash Punctuation	37	0.1%
Other Number	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3008	17.9%
i	1780	10.6%
e	1420	8.4%
n	1062	6.3%
l	1037	6.2%
h	1020	6.1%
r	988	5.9%
o	928	5.5%
m	836	5.0%
t	654	3.9%
Other values (18)	4098	24.3%

Uppercase Letter

Value	Count	Frequency (%)
K	321	8.5%
S	318	8.4%
M	305	8.1%
B	275	7.3%
H	268	7.1%
D	266	7.1%
T	255	6.8%
A	228	6.0%
P	213	5.6%
C	154	4.1%
Other values (16)	1168	31.0%

Decimal Number

Value	Count	Frequency (%)
0	470	36.4%
2	356	27.6%
1	180	13.9%
3	55	4.3%
4	46	3.6%
5	45	3.5%
6	41	3.2%
7	38	2.9%
9	35	2.7%
8	26	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	97	38.6%
:	97	38.6%
!	27	10.8%
'	11	4.4%
?	10	4.0%
&	5	2.0%
@	2	0.8%
/	1	0.4%
…	1	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	23	62.2%
–	14	37.8%

Space Separator

Value	Count	Frequency (%)
	3041	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	460	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	460	100.0%

Other Number

Value	Count	Frequency (%)
½	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20602	78.8%
Common	5542	21.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3008	14.6%
i	1780	8.6%
e	1420	6.9%
n	1062	5.2%
l	1037	5.0%
h	1020	5.0%
r	988	4.8%
o	928	4.5%
m	836	4.1%
t	654	3.2%
Other values (44)	7869	38.2%

Common

Value	Count	Frequency (%)
	3041	54.9%
0	470	8.5%
)	460	8.3%
(	460	8.3%
2	356	6.4%
1	180	3.2%
.	97	1.8%
:	97	1.8%
3	55	1.0%
4	46	0.8%
Other values (15)	280	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26126	99.9%
Punctuation	15	0.1%
None	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3041	11.6%
a	3008	11.5%
i	1780	6.8%
e	1420	5.4%
n	1062	4.1%
l	1037	4.0%
h	1020	3.9%
r	988	3.8%
o	928	3.6%
m	836	3.2%
Other values (64)	11006	42.1%

Punctuation

Value	Count	Frequency (%)
–	14	93.3%
…	1	6.7%

None

Value	Count	Frequency (%)
½	1	33.3%
ś	1	33.3%
é	1	33.3%

imdb_id
Text

Distinct	1623
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

Length

Max length	10
Median length	9
Mean length	9.0055249
Min length	9

Characters and Unicode

Total characters	14670
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1617 ?
Unique (%)	99.3%

Sample

1st row	tt8291224
2nd row	tt9472208
3rd row	tt6986710
4th row	tt8108208
5th row	tt6028796

Value	Count	Frequency (%)
tt2140465	2	0.1%
tt1954470	2	0.1%
tt0346507	2	0.1%
tt2424988	2	0.1%
tt0347416	2	0.1%
tt0169102	2	0.1%
tt5013008	1	0.1%
tt8396186	1	0.1%
tt7777196	1	0.1%
tt6903440	1	0.1%
Other values (1613)	1613	99.0%

Most occurring characters

Value	Count	Frequency (%)
t	3258	22.2%
0	1524	10.4%
4	1342	9.1%
2	1249	8.5%
1	1241	8.5%
3	1194	8.1%
8	1091	7.4%
6	1026	7.0%
7	984	6.7%
9	882	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11412	77.8%
Lowercase Letter	3258	22.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1524	13.4%
4	1342	11.8%
2	1249	10.9%
1	1241	10.9%
3	1194	10.5%
8	1091	9.6%
6	1026	9.0%
7	984	8.6%
9	882	7.7%
5	879	7.7%

Lowercase Letter

Value	Count	Frequency (%)
t	3258	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11412	77.8%
Latin	3258	22.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1524	13.4%
4	1342	11.8%
2	1249	10.9%
1	1241	10.9%
3	1194	10.5%
8	1091	9.6%
6	1026	9.0%
7	984	8.6%
9	882	7.7%
5	879	7.7%

Latin

Value	Count	Frequency (%)
t	3258	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14670	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3258	22.2%
0	1524	10.4%
4	1342	9.1%
2	1249	8.5%
1	1241	8.5%
3	1194	8.1%
8	1091	7.4%
6	1026	7.0%
7	984	6.7%
9	882	6.0%

poster_path
Text

MISSING

Distinct	1517
Distinct (%)	99.4%
Missing	103
Missing (%)	6.3%
Memory size	12.9 KiB

Length

Max length	170
Median length	148
Mean length	104.11206
Min length	57

Characters and Unicode

Total characters	158875
Distinct characters	68
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1511 ?
Unique (%)	99.0%

Sample

1st row	https://upload.wikimedia.org/wikipedia/en/thumb/3/3b/URI_-_New_poster.jpg/220px-URI_-_New_poster.jpg
2nd row	https://upload.wikimedia.org/wikipedia/en/thumb/a/a1/The_Accidental_Prime_Minister_film.jpg/220px-The_Accidental_Prime_Minister_film.jpg
3rd row	https://upload.wikimedia.org/wikipedia/en/thumb/a/a2/Why_Cheat_India_poster.jpg/220px-Why_Cheat_India_poster.jpg
4th row	https://upload.wikimedia.org/wikipedia/en/thumb/d/de/Soni_India_Netflix_Movie_Poster.jpg/220px-Soni_India_Netflix_Movie_Poster.jpg
5th row	https://upload.wikimedia.org/wikipedia/en/thumb/4/48/Fraud_Saiyyan_film_poster.jpg/220px-Fraud_Saiyyan_film_poster.jpg

Value	Count	Frequency (%)
https://upload.wikimedia.org/wikipedia/en/thumb/4/41/flag_of_india.svg/23px-flag_of_india.svg.png	4	0.3%
https://upload.wikimedia.org/wikipedia/en/thumb/4/41/flag_of_india.svg/32px-flag_of_india.svg.png	3	0.2%
https://upload.wikimedia.org/wikipedia/en/thumb/b/b6/lagaan.jpg/220px-lagaan.jpg	2	0.1%
https://upload.wikimedia.org/wikipedia/en/thumb/c/c7/gabbar_is_back_first_look.jpg/220px-gabbar_is_back_first_look.jpg	2	0.1%
https://upload.wikimedia.org/wikipedia/en/thumb/3/3f/tanu_weds_manu_poster.jpg/220px-tanu_weds_manu_poster.jpg	2	0.1%
https://upload.wikimedia.org/wikipedia/en/thumb/3/39/andaaz_movieposter.jpg/220px-andaaz_movieposter.jpg	2	0.1%
https://upload.wikimedia.org/wikipedia/en/thumb/4/46/sonchiriya_poster.jpg/220px-sonchiriya_poster.jpg	1	0.1%
https://upload.wikimedia.org/wikipedia/en/thumb/d/de/soni_india_netflix_movie_poster.jpg/220px-soni_india_netflix_movie_poster.jpg	1	0.1%
https://upload.wikimedia.org/wikipedia/en/thumb/4/48/fraud_saiyyan_film_poster.jpg/220px-fraud_saiyyan_film_poster.jpg	1	0.1%
https://upload.wikimedia.org/wikipedia/en/thumb/b/bb/bombairiya_poster.jpg/220px-bombairiya_poster.jpg	1	0.1%
Other values (1507)	1507	98.8%

Most occurring characters

Value	Count	Frequency (%)
/	13462	8.5%
i	12413	7.8%
a	10223	6.4%
p	10020	6.3%
e	9248	5.8%
t	7273	4.6%
o	6680	4.2%
.	6067	3.8%
_	6024	3.8%
d	5704	3.6%
Other values (58)	71761	45.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	111691	70.3%
Other Punctuation	21643	13.6%
Decimal Number	10042	6.3%
Uppercase Letter	7598	4.8%
Connector Punctuation	6024	3.8%
Dash Punctuation	1877	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	12413	11.1%
a	10223	9.2%
p	10020	9.0%
e	9248	8.3%
t	7273	6.5%
o	6680	6.0%
d	5704	5.1%
r	4948	4.4%
g	4886	4.4%
h	4689	4.2%
Other values (16)	35607	31.9%

Uppercase Letter

Value	Count	Frequency (%)
P	1077	14.2%
M	650	8.6%
S	506	6.7%
K	502	6.6%
D	480	6.3%
B	455	6.0%
H	441	5.8%
T	423	5.6%
A	410	5.4%
C	314	4.1%
Other values (16)	2340	30.8%

Decimal Number

Value	Count	Frequency (%)
2	4133	41.2%
0	2300	22.9%
1	626	6.2%
8	565	5.6%
9	545	5.4%
3	427	4.3%
7	406	4.0%
6	361	3.6%
4	355	3.5%
5	324	3.2%

Other Punctuation

Value	Count	Frequency (%)
/	13462	62.2%
.	6067	28.0%
:	1526	7.1%
%	588	2.7%

Connector Punctuation

Value	Count	Frequency (%)
_	6024	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1877	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	119289	75.1%
Common	39586	24.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	12413	10.4%
a	10223	8.6%
p	10020	8.4%
e	9248	7.8%
t	7273	6.1%
o	6680	5.6%
d	5704	4.8%
r	4948	4.1%
g	4886	4.1%
h	4689	3.9%
Other values (42)	43205	36.2%

Common

Value	Count	Frequency (%)
/	13462	34.0%
.	6067	15.3%
_	6024	15.2%
2	4133	10.4%
0	2300	5.8%
-	1877	4.7%
:	1526	3.9%
1	626	1.6%
%	588	1.5%
8	565	1.4%
Other values (6)	2418	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158875	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	13462	8.5%
i	12413	7.8%
a	10223	6.4%
p	10020	6.3%
e	9248	5.8%
t	7273	4.6%
o	6680	4.2%
.	6067	3.8%
_	6024	3.8%
d	5704	3.6%
Other values (58)	71761	45.2%

wiki_link
Text

UNIQUE

Distinct	1629
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

Length

Max length	76
Median length	62
Mean length	46.347452
Min length	33

Characters and Unicode

Total characters	75500
Distinct characters	72
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1629 ?
Unique (%)	100.0%

Sample

1st row	https://en.wikipedia.org/wiki/Uri:_The_Surgical_Strike
2nd row	https://en.wikipedia.org/wiki/Battalion_609
3rd row	https://en.wikipedia.org/wiki/The_Accidental_Prime_Minister_(film)
4th row	https://en.wikipedia.org/wiki/Why_Cheat_India
5th row	https://en.wikipedia.org/wiki/Evening_Shadows

Value	Count	Frequency (%)
https://en.wikipedia.org/wiki/gabbar_is_back	2	0.1%
https://en.wikipedia.org/wiki/uri:_the_surgical_strike	1	0.1%
https://en.wikipedia.org/wiki/gone_kesh	1	0.1%
https://en.wikipedia.org/wiki/the_accidental_prime_minister_(film	1	0.1%
https://en.wikipedia.org/wiki/why_cheat_india	1	0.1%
https://en.wikipedia.org/wiki/evening_shadows	1	0.1%
https://en.wikipedia.org/wiki/soni_(film	1	0.1%
https://en.wikipedia.org/wiki/fraud_saiyaan	1	0.1%
https://en.wikipedia.org/wiki/bombairiya	1	0.1%
https://en.wikipedia.org/wiki/manikarnika:_the_queen_of_jhansi	1	0.1%
Other values (1618)	1618	99.3%

Most occurring characters

Value	Count	Frequency (%)
i	9950	13.2%
/	6518	8.6%
e	4674	6.2%
a	4637	6.1%
t	3916	5.2%
k	3569	4.7%
p	3403	4.5%
w	3368	4.5%
.	3353	4.4%
_	3096	4.1%
Other values (62)	29016	38.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	54396	72.0%
Other Punctuation	11690	15.5%
Uppercase Letter	3816	5.1%
Connector Punctuation	3096	4.1%
Decimal Number	1504	2.0%
Close Punctuation	486	0.6%
Open Punctuation	486	0.6%
Dash Punctuation	26	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	9950	18.3%
e	4674	8.6%
a	4637	8.5%
t	3916	7.2%
k	3569	6.6%
p	3403	6.3%
w	3368	6.2%
n	2698	5.0%
h	2654	4.9%
r	2611	4.8%
Other values (16)	12916	23.7%

Uppercase Letter

Value	Count	Frequency (%)
K	320	8.4%
S	318	8.3%
M	303	7.9%
B	277	7.3%
H	265	6.9%
D	264	6.9%
T	260	6.8%
A	232	6.1%
P	212	5.6%
C	160	4.2%
Other values (16)	1205	31.6%

Decimal Number

Value	Count	Frequency (%)
0	512	34.0%
2	411	27.3%
1	202	13.4%
3	86	5.7%
7	55	3.7%
9	52	3.5%
5	49	3.3%
4	48	3.2%
6	47	3.1%
8	42	2.8%

Other Punctuation

Value	Count	Frequency (%)
/	6518	55.8%
.	3353	28.7%
:	1720	14.7%
%	73	0.6%
!	24	0.2%
@	2	< 0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	3096	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	486	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	486	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	26	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58212	77.1%
Common	17288	22.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	9950	17.1%
e	4674	8.0%
a	4637	8.0%
t	3916	6.7%
k	3569	6.1%
p	3403	5.8%
w	3368	5.8%
n	2698	4.6%
h	2654	4.6%
r	2611	4.5%
Other values (42)	16732	28.7%

Common

Value	Count	Frequency (%)
/	6518	37.7%
.	3353	19.4%
_	3096	17.9%
:	1720	9.9%
0	512	3.0%
)	486	2.8%
(	486	2.8%
2	411	2.4%
1	202	1.2%
3	86	0.5%
Other values (10)	418	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	75500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	9950	13.2%
/	6518	8.6%
e	4674	6.2%
a	4637	6.1%
t	3916	5.2%
k	3569	4.7%
p	3403	4.5%
w	3368	4.5%
.	3353	4.4%
_	3096	4.1%
Other values (62)	29016	38.4%

title_y
Text

Distinct	1620
Distinct (%)	99.4%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

Length

Max length	52
Median length	37
Mean length	13.901166
Min length	1

Characters and Unicode

Total characters	22645
Distinct characters	75
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1612 ?
Unique (%)	99.0%

Sample

1st row	Uri: The Surgical Strike
2nd row	Battalion 609
3rd row	The Accidental Prime Minister
4th row	Why Cheat India
5th row	Evening Shadows

Value	Count	Frequency (%)
the	117	2.8%
hai	54	1.3%
of	51	1.2%
ki	37	0.9%
ek	36	0.9%
dil	35	0.8%
love	34	0.8%
2	32	0.8%
a	31	0.8%
pyaar	26	0.6%
Other values (2338)	3671	89.0%

Most occurring characters

Value	Count	Frequency (%)
a	3013	13.3%
	2495	11.0%
e	1545	6.8%
i	1331	5.9%
n	1108	4.9%
h	1053	4.7%
r	1043	4.6%
o	1019	4.5%
t	720	3.2%
s	617	2.7%
Other values (65)	8701	38.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15632	69.0%
Uppercase Letter	3924	17.3%
Space Separator	2495	11.0%
Other Punctuation	402	1.8%
Decimal Number	161	0.7%
Dash Punctuation	27	0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3013	19.3%
e	1545	9.9%
i	1331	8.5%
n	1108	7.1%
h	1053	6.7%
r	1043	6.7%
o	1019	6.5%
t	720	4.6%
s	617	3.9%
l	612	3.9%
Other values (16)	3571	22.8%

Uppercase Letter

Value	Count	Frequency (%)
S	334	8.5%
K	316	8.1%
M	307	7.8%
B	289	7.4%
T	271	6.9%
D	269	6.9%
H	254	6.5%
A	224	5.7%
P	216	5.5%
C	167	4.3%
Other values (16)	1277	32.5%

Decimal Number

Value	Count	Frequency (%)
2	50	31.1%
3	25	15.5%
1	22	13.7%
0	17	10.6%
9	13	8.1%
5	9	5.6%
4	8	5.0%
6	6	3.7%
8	6	3.7%
7	5	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	164	40.8%
:	147	36.6%
!	45	11.2%
'	25	6.2%
?	10	2.5%
&	5	1.2%
/	3	0.7%
@	2	0.5%
#	1	0.2%

Space Separator

Value	Count	Frequency (%)
	2495	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	27	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19556	86.4%
Common	3089	13.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3013	15.4%
e	1545	7.9%
i	1331	6.8%
n	1108	5.7%
h	1053	5.4%
r	1043	5.3%
o	1019	5.2%
t	720	3.7%
s	617	3.2%
l	612	3.1%
Other values (42)	7495	38.3%

Common

Value	Count	Frequency (%)
	2495	80.8%
.	164	5.3%
:	147	4.8%
2	50	1.6%
!	45	1.5%
-	27	0.9%
'	25	0.8%
3	25	0.8%
1	22	0.7%
0	17	0.6%
Other values (13)	72	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22645	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3013	13.3%
	2495	11.0%
e	1545	6.8%
i	1331	5.9%
n	1108	4.9%
h	1053	4.7%
r	1043	4.6%
o	1019	4.5%
t	720	3.2%
s	617	2.7%
Other values (65)	8701	38.4%

original_title
Text

Distinct	1621
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

Length

Max length	52
Median length	40
Mean length	13.910988
Min length	1

Characters and Unicode

Total characters	22661
Distinct characters	75
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1613 ?
Unique (%)	99.0%

Sample

1st row	Uri: The Surgical Strike
2nd row	Battalion 609
3rd row	The Accidental Prime Minister
4th row	Why Cheat India
5th row	Evening Shadows

Value	Count	Frequency (%)
the	107	2.6%
hai	55	1.3%
of	45	1.1%
ki	39	0.9%
ek	37	0.9%
dil	35	0.9%
love	32	0.8%
a	31	0.8%
2	30	0.7%
pyaar	26	0.6%
Other values (2346)	3679	89.4%

Most occurring characters

Value	Count	Frequency (%)
a	3085	13.6%
	2487	11.0%
e	1522	6.7%
i	1334	5.9%
n	1107	4.9%
h	1056	4.7%
r	1029	4.5%
o	1012	4.5%
t	707	3.1%
l	607	2.7%
Other values (65)	8715	38.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15642	69.0%
Uppercase Letter	3932	17.4%
Space Separator	2487	11.0%
Other Punctuation	408	1.8%
Decimal Number	160	0.7%
Dash Punctuation	30	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3085	19.7%
e	1522	9.7%
i	1334	8.5%
n	1107	7.1%
h	1056	6.8%
r	1029	6.6%
o	1012	6.5%
t	707	4.5%
l	607	3.9%
s	603	3.9%
Other values (16)	3580	22.9%

Uppercase Letter

Value	Count	Frequency (%)
S	329	8.4%
K	325	8.3%
M	314	8.0%
B	291	7.4%
D	277	7.0%
T	267	6.8%
H	257	6.5%
A	234	6.0%
P	214	5.4%
C	164	4.2%
Other values (16)	1260	32.0%

Decimal Number

Value	Count	Frequency (%)
2	48	30.0%
3	26	16.2%
1	22	13.8%
0	17	10.6%
9	13	8.1%
5	9	5.6%
4	8	5.0%
8	6	3.8%
7	6	3.8%
6	5	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	170	41.7%
:	154	37.7%
!	44	10.8%
'	20	4.9%
?	9	2.2%
&	5	1.2%
/	3	0.7%
@	2	0.5%
#	1	0.2%

Space Separator

Value	Count	Frequency (%)
	2487	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	30	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19574	86.4%
Common	3087	13.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3085	15.8%
e	1522	7.8%
i	1334	6.8%
n	1107	5.7%
h	1056	5.4%
r	1029	5.3%
o	1012	5.2%
t	707	3.6%
l	607	3.1%
s	603	3.1%
Other values (42)	7512	38.4%

Common

Value	Count	Frequency (%)
	2487	80.6%
.	170	5.5%
:	154	5.0%
2	48	1.6%
!	44	1.4%
-	30	1.0%
3	26	0.8%
1	22	0.7%
'	20	0.6%
0	17	0.6%
Other values (13)	69	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22661	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3085	13.6%
	2487	11.0%
e	1522	6.7%
i	1334	5.9%
n	1107	4.9%
h	1056	4.7%
r	1029	4.5%
o	1012	4.5%
t	707	3.1%
l	607	2.7%
Other values (65)	8715	38.5%

is_adult
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

0	1629

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1629
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1629	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1629	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1629	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1629	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1629	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1629	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1629	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1629	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1629	100.0%

year_of_release
Real number (ℝ)

Distinct	19
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2010.264

Minimum	2001
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	2001
5-th percentile	2002
Q1	2005
median	2011
Q3	2015
95-th percentile	2018
Maximum	2019
Range	18
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.3815418
Coefficient of variation (CV)	0.0026770324
Kurtosis	-1.2306189
Mean	2010.264
Median Absolute Deviation (MAD)	5
Skewness	-0.080667275
Sum	3274720
Variance	28.960992
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2014	110	6.8%
2015	105	6.4%
2003	99	6.1%
2005	97	6.0%
2017	96	5.9%
2016	94	5.8%
2013	94	5.8%
2010	92	5.6%
2006	85	5.2%
2011	84	5.2%
Other values (9)	673	41.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2001	61	3.7%
2002	76	4.7%
2003	99	6.1%
2004	79	4.8%
2005	97	6.0%
2006	85	5.2%
2007	84	5.2%
2008	73	4.5%
2009	63	3.9%
2010	92	5.6%

Value	Count	Frequency (%)
2019	75	4.6%
2018	79	4.8%
2017	96	5.9%
2016	94	5.8%
2015	105	6.4%
2014	110	6.8%
2013	94	5.8%
2012	83	5.1%
2011	84	5.2%
2010	92	5.6%

runtime
Text

Distinct	130
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

Length

Max length	3
Median length	3
Mean length	2.8637201
Min length	2

Characters and Unicode

Total characters	4665
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	1.6%

Sample

1st row	138
2nd row	131
3rd row	112
4th row	121
5th row	102

Value	Count	Frequency (%)
n	119	7.3%
120	56	3.4%
130	42	2.6%
135	41	2.5%
140	36	2.2%
137	34	2.1%
128	32	2.0%
138	31	1.9%
150	31	1.9%
122	29	1.8%
Other values (120)	1178	72.3%

Most occurring characters

Value	Count	Frequency (%)
1	1667	35.7%
2	430	9.2%
0	425	9.1%
3	423	9.1%
5	364	7.8%
4	332	7.1%
6	222	4.8%
9	210	4.5%
8	190	4.1%
7	164	3.5%
Other values (2)	238	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4427	94.9%
Other Punctuation	119	2.6%
Uppercase Letter	119	2.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1667	37.7%
2	430	9.7%
0	425	9.6%
3	423	9.6%
5	364	8.2%
4	332	7.5%
6	222	5.0%
9	210	4.7%
8	190	4.3%
7	164	3.7%

Other Punctuation

Value	Count	Frequency (%)
\	119	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	119	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4546	97.4%
Latin	119	2.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1667	36.7%
2	430	9.5%
0	425	9.3%
3	423	9.3%
5	364	8.0%
4	332	7.3%
6	222	4.9%
9	210	4.6%
8	190	4.2%
7	164	3.6%

Latin

Value	Count	Frequency (%)
N	119	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4665	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1667	35.7%
2	430	9.2%
0	425	9.1%
3	423	9.1%
5	364	7.8%
4	332	7.1%
6	222	4.8%
9	210	4.5%
8	190	4.1%
7	164	3.5%
Other values (2)	238	5.1%

genres
Text

Distinct	205
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

Length

Max length	26
Median length	21
Mean length	15.087784
Min length	3

Characters and Unicode

Total characters	24578
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	87 ?
Unique (%)	5.3%

Sample

1st row	Action\|Drama\|War
2nd row	War
3rd row	Biography\|Drama
4th row	Crime\|Drama
5th row	Drama

Value	Count	Frequency (%)
drama	162	9.9%
comedy\|drama\|romance	101	6.2%
comedy\|drama	88	5.4%
drama\|romance	86	5.3%
action\|crime\|drama	86	5.3%
comedy	73	4.5%
comedy\|romance	69	4.2%
action\|thriller	36	2.2%
drama\|musical\|romance	28	1.7%
comedy\|crime\|drama	27	1.7%
Other values (195)	873	53.6%

Most occurring characters

Value	Count	Frequency (%)
a	2940	12.0%
m	2477	10.1%
r	2416	9.8%
\|	2086	8.5%
e	1815	7.4%
o	1718	7.0%
i	1308	5.3%
D	1090	4.4%
n	1012	4.1%
c	1012	4.1%
Other values (21)	6704	27.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18747	76.3%
Uppercase Letter	3730	15.2%
Math Symbol	2086	8.5%
Dash Punctuation	15	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2940	15.7%
m	2477	13.2%
r	2416	12.9%
e	1815	9.7%
o	1718	9.2%
i	1308	7.0%
n	1012	5.4%
c	1012	5.4%
y	987	5.3%
t	726	3.9%
Other values (8)	2336	12.5%

Uppercase Letter

Value	Count	Frequency (%)
D	1090	29.2%
C	850	22.8%
A	507	13.6%
R	451	12.1%
T	274	7.3%
M	217	5.8%
F	126	3.4%
H	100	2.7%
B	50	1.3%
S	49	1.3%

Math Symbol

Value	Count	Frequency (%)
\|	2086	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22477	91.5%
Common	2101	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2940	13.1%
m	2477	11.0%
r	2416	10.7%
e	1815	8.1%
o	1718	7.6%
i	1308	5.8%
D	1090	4.8%
n	1012	4.5%
c	1012	4.5%
y	987	4.4%
Other values (19)	5702	25.4%

Common

Value	Count	Frequency (%)
\|	2086	99.3%
-	15	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24578	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2940	12.0%
m	2477	10.1%
r	2416	9.8%
\|	2086	8.5%
e	1815	7.4%
o	1718	7.0%
i	1308	5.3%
D	1090	4.4%
n	1012	4.1%
c	1012	4.1%
Other values (21)	6704	27.3%

imdb_rating
Real number (ℝ)

Distinct	76
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.5574586

Minimum	0
Maximum	9.4
Zeros	9
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	0
5-th percentile	2.9
Q1	4.4
median	5.6
Q3	6.8
95-th percentile	8
Maximum	9.4
Range	9.4
Interquartile range (IQR)	2.4

Descriptive statistics

Standard deviation	1.5676086
Coefficient of variation (CV)	0.28207293
Kurtosis	-0.11519309
Mean	5.5574586
Median Absolute Deviation (MAD)	1.2
Skewness	-0.37195319
Sum	9053.1
Variance	2.4573967
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.7	54	3.3%
6.2	45	2.8%
5.3	45	2.8%
7.2	45	2.8%
6.8	43	2.6%
5.2	42	2.6%
4.6	42	2.6%
5.4	41	2.5%
5.1	39	2.4%
5.5	39	2.4%
Other values (66)	1194	73.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	0.6%
1.5	2	0.1%
1.7	4	0.2%
1.8	1	0.1%
1.9	3	0.2%
2	4	0.2%
2.1	3	0.2%
2.2	2	0.1%
2.3	7	0.4%
2.4	4	0.2%

Value	Count	Frequency (%)
9.4	1	0.1%
9	1	0.1%
8.9	1	0.1%
8.7	2	0.1%
8.6	1	0.1%
8.5	1	0.1%
8.4	7	0.4%
8.3	6	0.4%
8.2	22	1.4%
8.1	18	1.1%

imdb_votes
Real number (ℝ)

Distinct	1267
Distinct (%)	77.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5384.2634

Minimum	0
Maximum	310481
Zeros	9
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	0
5-th percentile	28
Q1	233
median	1000
Q3	4287
95-th percentile	24020.2
Maximum	310481
Range	310481
Interquartile range (IQR)	4054

Descriptive statistics

Standard deviation	14552.103
Coefficient of variation (CV)	2.7027102
Kurtosis	139.97855
Mean	5384.2634
Median Absolute Deviation (MAD)	925
Skewness	9.0909717
Sum	8770965
Variance	2.1176371 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9	0.6%
40	7	0.4%
39	6	0.4%
47	6	0.4%
43	6	0.4%
13	6	0.4%
67	5	0.3%
6	5	0.3%
53	5	0.3%
22	5	0.3%
Other values (1257)	1569	96.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	0.6%
5	2	0.1%
6	5	0.3%
7	4	0.2%
8	3	0.2%
9	2	0.1%
10	1	0.1%
11	3	0.2%
12	3	0.2%
13	6	0.4%

Value	Count	Frequency (%)
310481	1	0.1%
148498	1	0.1%
143605	1	0.1%
131338	1	0.1%
117000	1	0.1%
103071	1	0.1%
95686	2	0.1%
92755	1	0.1%
76737	1	0.1%
71636	2	0.1%

story
Text

MISSING

Distinct	1603
Distinct (%)	99.6%
Missing	20
Missing (%)	1.2%
Memory size	12.9 KiB

Length

Max length	13128
Median length	807
Mean length	622.94469
Min length	27

Characters and Unicode

Total characters	1002318
Distinct characters	92
Distinct categories	13 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1597 ?
Unique (%)	99.3%

Sample

1st row	Divided over five chapters the film chronicles the events of the surgical strike conducted by the Indian military against suspected militants in Pakistan occupied Kashmir. It tells the story of the 11 tumultuous events over which the operation was carried out. Indian army special forces carry out a covert operation to avenge the killing of fellow army men at their base by a terrorist group.
2nd row	The story revolves around a cricket match between the Indian Army and the Pakistan Army gone wrong and narrates the tale of the soldiers of Battalion 609 putting up a fight with Taliban. After an attack on Indian Army that is Battalion 609 near the LOC the match which was to be played between India and Pakistan is cancelled. Anwar Hussein a Pakistani soldier who is very fond of cricket and was looking forward to the match throws a cricket bat at the other end of the LOC and calls the Indian army and Indians a bunch of cowards. In anger the Indian army throws a ball towards them. Soon a verbal fight breaks between them which leads to the two teams deciding to play a cricket match. The losing team will take their post eighteen kilometres back.
3rd row	Based on the memoir by Indian policy analyst Sanjaya Baru The Accidental Prime Minister explores Manmohan Singh's tenure as the Prime Minister of India and the interference of Congress Party in contradicting his decisions during his first tenure. He details how Singh fell a victim to Congress Party's dynastic approach. It highlights how Manmohan Singh was constantly ignored by Congress to maintain turf for Rahul Gandhi the son of Sonia Gandhi and Rajiv Gandhi.
4th row	The movie focuses on existing malpractices in country's education system the whole concept of buying your way through education jobs and earnings. Even with an evolving education system the country faces scams like SSC and HSC paper leaks CBSE re-examination Vyaapam etc. The movie tries to shift the attention of people to understand the vulnerability of hardworking and gifted students who get left out.
5th row	While gay rights and marriage equality has been embraced by most countries a small town in Southern India lives within a cocoon of traditions and social morality. In such a milieu when a young gay man Kartik comes out to his mother Vasudha her entire world comes crashing down. She has no one to turn to dispel her fears and doubts to understand her loving son's truth. Moreover as a woman trapped within a patriarchal conservative society her biggest challenge is to deal with her dogmatic husband Damodar and the conservative society around her. 'Evening Shadows' is a universal story about a mother-son bonding and its emotional strength to withstand the ravages of time and harsh realities.

Value	Count	Frequency (%)
the	7443	4.3%
and	6432	3.7%
to	5979	3.4%
a	5666	3.3%
of	4013	2.3%
is	3572	2.1%
in	3350	1.9%
his	3013	1.7%
he	2216	1.3%
with	2119	1.2%
Other values (17080)	130010	74.8%

Most occurring characters

Value	Count	Frequency (%)
	182842	18.2%
e	88858	8.9%
a	74741	7.5%
t	63412	6.3%
i	61438	6.1%
n	56092	5.6%
o	52954	5.3%
s	52541	5.2%
h	48599	4.8%
r	48107	4.8%
Other values (82)	272734	27.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	769962	76.8%
Space Separator	182842	18.2%
Uppercase Letter	29750	3.0%
Other Punctuation	13389	1.3%
Dash Punctuation	2273	0.2%
Decimal Number	2021	0.2%
Close Punctuation	928	0.1%
Open Punctuation	925	0.1%
Math Symbol	112	< 0.1%
Connector Punctuation	100	< 0.1%
Other values (3)	16	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	88858	11.5%
a	74741	9.7%
t	63412	8.2%
i	61438	8.0%
n	56092	7.3%
o	52954	6.9%
s	52541	6.8%
h	48599	6.3%
r	48107	6.2%
l	32249	4.2%
Other values (21)	190971	24.8%

Uppercase Letter

Value	Count	Frequency (%)
S	3653	12.3%
A	3176	10.7%
T	2246	7.5%
R	2091	7.0%
M	1998	6.7%
B	1788	6.0%
P	1571	5.3%
K	1561	5.2%
I	1476	5.0%
H	1382	4.6%
Other values (16)	8808	29.6%

Other Punctuation

Value	Count	Frequency (%)
.	9620	71.9%
'	2121	15.8%
;	420	3.1%
"	271	2.0%
,	221	1.7%
/	216	1.6%
?	208	1.6%
:	107	0.8%
&	92	0.7%
!	89	0.7%
Other values (3)	24	0.2%

Decimal Number

Value	Count	Frequency (%)
0	447	22.1%
1	393	19.4%
2	329	16.3%
9	164	8.1%
5	161	8.0%
3	140	6.9%
4	125	6.2%
8	92	4.6%
6	90	4.5%
7	80	4.0%

Close Punctuation

Value	Count	Frequency (%)
)	916	98.7%
]	12	1.3%

Open Punctuation

Value	Count	Frequency (%)
(	913	98.7%
[	12	1.3%

Math Symbol

Value	Count	Frequency (%)
\|	109	97.3%
+	3	2.7%

Space Separator

Value	Count	Frequency (%)
	182842	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2273	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	100	100.0%

Control

Value	Count	Frequency (%)
	13	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	2	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	799712	79.8%
Common	202606	20.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	88858	11.1%
a	74741	9.3%
t	63412	7.9%
i	61438	7.7%
n	56092	7.0%
o	52954	6.6%
s	52541	6.6%
h	48599	6.1%
r	48107	6.0%
l	32249	4.0%
Other values (47)	220721	27.6%

Common

Value	Count	Frequency (%)
	182842	90.2%
.	9620	4.7%
-	2273	1.1%
'	2121	1.0%
)	916	0.5%
(	913	0.5%
0	447	0.2%
;	420	0.2%
1	393	0.2%
2	329	0.2%
Other values (25)	2332	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1002288	> 99.9%
None	30	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	182842	18.2%
e	88858	8.9%
a	74741	7.5%
t	63412	6.3%
i	61438	6.1%
n	56092	5.6%
o	52954	5.3%
s	52541	5.2%
h	48599	4.8%
r	48107	4.8%
Other values (77)	272704	27.2%

None

Value	Count	Frequency (%)
é	23	76.7%
ï	2	6.7%
è	2	6.7%
ê	2	6.7%
à	1	3.3%

summary
Text

Distinct	1604
Distinct (%)	98.5%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

Length

Max length	422
Median length	205
Mean length	153.92265
Min length	6

Characters and Unicode

Total characters	250740
Distinct characters	83
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1597 ?
Unique (%)	98.0%

Sample

1st row	Indian army special forces execute a covert operation avenging the killing of fellow army men at their base by a terrorist group.
2nd row	The story of Battalion 609 revolves around a cricket match between the Indian Army and the Pakistan army gone wrong and narrates the tale of the brave soldiers of Battalion 609 putting up a fight with the mighty Taliban.
3rd row	Explores Manmohan Singh's tenure as the Prime Minister of India and the kind of control he had over the cabinet and the country.
4th row	The movie focuses on existing malpractices in country's education system the whole concept of buying your way through education jobs and earnings. Even with an evolving education system ...
5th row	Under the 'Evening Shadows' truth often plays hide and seek. Set in South India and Mumbai 'Evening Shadows' is a tender heartwarming story about a mother-son bond that has to withstand the ravages of time distance and truths.

Value	Count	Frequency (%)
a	2288	5.4%
the	1652	3.9%
to	1351	3.2%
and	1300	3.1%
of	1164	2.8%
in	981	2.3%
his	758	1.8%
is	740	1.8%
with	475	1.1%
	403	1.0%
Other values (7431)	31031	73.6%

Most occurring characters

Value	Count	Frequency (%)
	50560	20.2%
e	21579	8.6%
a	17536	7.0%
i	15231	6.1%
t	14659	5.8%
n	13828	5.5%
o	13544	5.4%
s	12733	5.1%
r	12411	4.9%
h	10301	4.1%
Other values (73)	68358	27.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	187946	75.0%
Space Separator	50582	20.2%
Uppercase Letter	6633	2.6%
Other Punctuation	4026	1.6%
Dash Punctuation	580	0.2%
Decimal Number	517	0.2%
Open Punctuation	220	0.1%
Close Punctuation	212	0.1%
Final Punctuation	22	< 0.1%
Math Symbol	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	21579	11.5%
a	17536	9.3%
i	15231	8.1%
t	14659	7.8%
n	13828	7.4%
o	13544	7.2%
s	12733	6.8%
r	12411	6.6%
h	10301	5.5%
l	8196	4.4%
Other values (18)	47928	25.5%

Uppercase Letter

Value	Count	Frequency (%)
A	1134	17.1%
S	707	10.7%
T	554	8.4%
I	460	6.9%
M	404	6.1%
B	372	5.6%
R	357	5.4%
P	308	4.6%
K	302	4.6%
H	282	4.3%
Other values (15)	1753	26.4%

Other Punctuation

Value	Count	Frequency (%)
.	3338	82.9%
'	464	11.5%
"	75	1.9%
?	42	1.0%
;	41	1.0%
:	17	0.4%
&	15	0.4%
/	14	0.3%
!	13	0.3%
*	6	0.1%

Decimal Number

Value	Count	Frequency (%)
1	110	21.3%
0	106	20.5%
9	62	12.0%
2	56	10.8%
3	36	7.0%
5	36	7.0%
6	31	6.0%
7	31	6.0%
4	29	5.6%
8	20	3.9%

Space Separator

Value	Count	Frequency (%)
	50560	> 99.9%
	22	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	217	98.6%
[	3	1.4%

Close Punctuation

Value	Count	Frequency (%)
)	209	98.6%
]	3	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	580	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	22	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	194579	77.6%
Common	56161	22.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	21579	11.1%
a	17536	9.0%
i	15231	7.8%
t	14659	7.5%
n	13828	7.1%
o	13544	7.0%
s	12733	6.5%
r	12411	6.4%
h	10301	5.3%
l	8196	4.2%
Other values (43)	54561	28.0%

Common

Value	Count	Frequency (%)
	50560	90.0%
.	3338	5.9%
-	580	1.0%
'	464	0.8%
(	217	0.4%
)	209	0.4%
1	110	0.2%
0	106	0.2%
"	75	0.1%
9	62	0.1%
Other values (20)	440	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	250690	> 99.9%
None	50	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	50560	20.2%
e	21579	8.6%
a	17536	7.0%
i	15231	6.1%
t	14659	5.8%
n	13828	5.5%
o	13544	5.4%
s	12733	5.1%
r	12411	5.0%
h	10301	4.1%
Other values (69)	68308	27.2%

None

Value	Count	Frequency (%)
	22	44.0%
»	22	44.0%
é	5	10.0%
ï	1	2.0%

tagline
Text

MISSING

Distinct	553
Distinct (%)	99.3%
Missing	1072
Missing (%)	65.8%
Memory size	12.9 KiB

Length

Max length	247
Median length	79
Mean length	35.096948
Min length	8

Characters and Unicode

Total characters	19549
Distinct characters	78
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	549 ?
Unique (%)	98.6%

Sample

1st row	They didn't mean to change the world.
2nd row	Apna Time Aayega!
3rd row	The Wildest Adventure Ever
4th row	Meri Ek Arzi Sun Lo Zara
5th row	A Film for Every Indian

Value	Count	Frequency (%)
the	173	4.8%
a	159	4.5%
love	97	2.7%
of	95	2.7%
to	67	1.9%
you	62	1.7%
is	59	1.7%
in	47	1.3%
story	45	1.3%
	38	1.1%
Other values (1237)	2728	76.4%

Most occurring characters

Value	Count	Frequency (%)
	3015	15.4%
e	1915	9.8%
o	1243	6.4%
a	1106	5.7%
t	1041	5.3%
i	1000	5.1%
n	970	5.0%
r	970	5.0%
s	832	4.3%
.	782	4.0%
Other values (68)	6675	34.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13797	70.6%
Space Separator	3015	15.4%
Uppercase Letter	1532	7.8%
Other Punctuation	967	4.9%
Math Symbol	105	0.5%
Decimal Number	100	0.5%
Dash Punctuation	19	0.1%
Open Punctuation	7	< 0.1%
Close Punctuation	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1915	13.9%
o	1243	9.0%
a	1106	8.0%
t	1041	7.5%
i	1000	7.2%
n	970	7.0%
r	970	7.0%
s	832	6.0%
h	676	4.9%
l	543	3.9%
Other values (16)	3501	25.4%

Uppercase Letter

Value	Count	Frequency (%)
T	190	12.4%
A	147	9.6%
S	112	7.3%
L	101	6.6%
I	101	6.6%
B	85	5.5%
D	83	5.4%
M	83	5.4%
H	78	5.1%
W	75	4.9%
Other values (16)	477	31.1%

Decimal Number

Value	Count	Frequency (%)
1	24	24.0%
0	18	18.0%
2	17	17.0%
5	9	9.0%
3	8	8.0%
8	8	8.0%
9	8	8.0%
6	3	3.0%
7	3	3.0%
4	2	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	782	80.9%
'	76	7.9%
!	66	6.8%
?	26	2.7%
&	7	0.7%
:	5	0.5%
/	3	0.3%
%	1	0.1%
*	1	0.1%

Math Symbol

Value	Count	Frequency (%)
\|	103	98.1%
+	1	1.0%
=	1	1.0%

Space Separator

Value	Count	Frequency (%)
	3015	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15329	78.4%
Common	4220	21.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1915	12.5%
o	1243	8.1%
a	1106	7.2%
t	1041	6.8%
i	1000	6.5%
n	970	6.3%
r	970	6.3%
s	832	5.4%
h	676	4.4%
l	543	3.5%
Other values (42)	5033	32.8%

Common

Value	Count	Frequency (%)
	3015	71.4%
.	782	18.5%
\|	103	2.4%
'	76	1.8%
!	66	1.6%
?	26	0.6%
1	24	0.6%
-	19	0.5%
0	18	0.4%
2	17	0.4%
Other values (16)	74	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19549	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3015	15.4%
e	1915	9.8%
o	1243	6.4%
a	1106	5.7%
t	1041	5.3%
i	1000	5.1%
n	970	5.0%
r	970	5.0%
s	832	4.3%
.	782	4.0%
Other values (68)	6675	34.1%

actors
Text

Distinct	1617
Distinct (%)	99.6%
Missing	5
Missing (%)	0.3%
Memory size	12.9 KiB

Length

Max length	252
Median length	169
Mean length	134.03448
Min length	10

Characters and Unicode

Total characters	217672
Distinct characters	62
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1610 ?
Unique (%)	99.1%

Sample

1st row	Vicky Kaushal\|Paresh Rawal\|Mohit Raina\|Yami Gautam\|Kirti Kulhari\|Rajit Kapoor\|Ivan Rodrigues\|Manasi Parekh\|Swaroop Sampat\|Riva Arora\|Yogesh Soman\|Fareed Ahmed\|Akashdeep Arora\|Kallol Banerjee\|
2nd row	Vicky Ahuja\|Shoaib Ibrahim\|Shrikant Kamat\|Elena Kazan\|Vishwas Kini\|Major Kishore\|Jashn Kohli\|Rammy C. Pandey\|Manish Sharma\|Sparsh Sharma\|Farnaz Shetty\|Vikas Shrivastav\|Chandraprakash Thakur\|Brajesh Tiwari\|
3rd row	Anupam Kher\|Akshaye Khanna\|Aahana Kumra\|Atul Sharma\|Manoj Anand\|Arjun Mathur\|Suzanne Bernert\|Abdul Quadir Amin\|Bharat Mistri\|Divya Seth\|Anil Rastogi\|Ramesh Bhatkar\|Parrgash Kaur\|Jess Kaur\|
4th row	Emraan Hashmi\|Shreya Dhanwanthary\|Snighdadeep Chatterji\|Navneet Srivastava\|Nanda Yadav\|
5th row	Mona Ambegaonkar\|Ananth Narayan Mahadevan\|Devansh Doshi\|Arpit Chaudhary\|Yamini Singh\|Abhay Kulkarni\|Veena Nair\|Disha Thakur\|Kala Ramanathan\|Sushant Divgikar\|

Value	Count	Frequency (%)
singh	119	0.7%
ali	75	0.4%
sharma	59	0.3%
akshay	56	0.3%
khan	53	0.3%
kay	50	0.3%
amitabh	49	0.3%
shah	44	0.3%
ajay	42	0.2%
sanjay	38	0.2%
Other values (13793)	17001	96.7%

Most occurring characters

Value	Count	Frequency (%)
a	33194	15.2%
	15962	7.3%
\|	15767	7.2%
h	14307	6.6%
i	13717	6.3%
n	12371	5.7%
r	11761	5.4%
e	9803	4.5%
u	6126	2.8%
s	6064	2.8%
Other values (52)	78600	36.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	153841	70.7%
Uppercase Letter	31846	14.6%
Space Separator	15962	7.3%
Math Symbol	15767	7.2%
Other Punctuation	229	0.1%
Dash Punctuation	27	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	33194	21.6%
h	14307	9.3%
i	13717	8.9%
n	12371	8.0%
r	11761	7.6%
e	9803	6.4%
u	6126	4.0%
s	6064	3.9%
t	5878	3.8%
o	5609	3.6%
Other values (21)	35011	22.8%

Uppercase Letter

Value	Count	Frequency (%)
S	5520	17.3%
K	3589	11.3%
A	3342	10.5%
R	2480	7.8%
M	2320	7.3%
P	1887	5.9%
D	1845	5.8%
B	1699	5.3%
J	1176	3.7%
V	1093	3.4%
Other values (16)	6895	21.7%

Other Punctuation

Value	Count	Frequency (%)
.	199	86.9%
'	30	13.1%

Space Separator

Value	Count	Frequency (%)
	15962	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	15767	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	27	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	185687	85.3%
Common	31985	14.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	33194	17.9%
h	14307	7.7%
i	13717	7.4%
n	12371	6.7%
r	11761	6.3%
e	9803	5.3%
u	6126	3.3%
s	6064	3.3%
t	5878	3.2%
o	5609	3.0%
Other values (47)	66857	36.0%

Common

Value	Count	Frequency (%)
	15962	49.9%
\|	15767	49.3%
.	199	0.6%
'	30	0.1%
-	27	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	217662	> 99.9%
None	10	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	33194	15.3%
	15962	7.3%
\|	15767	7.2%
h	14307	6.6%
i	13717	6.3%
n	12371	5.7%
r	11761	5.4%
e	9803	4.5%
u	6126	2.8%
s	6064	2.8%
Other values (47)	78590	36.1%

None

Value	Count	Frequency (%)
á	4	40.0%
ö	3	30.0%
ç	1	10.0%
é	1	10.0%
ä	1	10.0%

wins_nominations
Text

MISSING

Distinct	229
Distinct (%)	32.4%
Missing	922
Missing (%)	56.6%
Memory size	12.9 KiB

Length

Max length	32
Median length	22
Mean length	17.520509
Min length	5

Characters and Unicode

Total characters	12387
Distinct characters	32
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	143 ?
Unique (%)	20.2%

Sample

1st row	4 wins
2nd row	17 wins & 1 nomination
3rd row	3 wins & 5 nominations
4th row	6 wins & 3 nominations
5th row	1 win

Value	Count	Frequency (%)
nominations	447	16.7%
	413	15.5%
wins	340	12.7%
1	333	12.5%
nomination	179	6.7%
win	149	5.6%
2	146	5.5%
3	100	3.7%
4	78	2.9%
5	61	2.3%
Other values (47)	423	15.8%

Most occurring characters

Value	Count	Frequency (%)
n	2372	19.1%
	1962	15.8%
i	1749	14.1%
o	1262	10.2%
s	789	6.4%
a	636	5.1%
m	634	5.1%
t	631	5.1%
1	549	4.4%
w	492	4.0%
Other values (22)	1311	10.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8598	69.4%
Space Separator	1962	15.8%
Decimal Number	1386	11.2%
Other Punctuation	413	3.3%
Uppercase Letter	28	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	2372	27.6%
i	1749	20.3%
o	1262	14.7%
s	789	9.2%
a	636	7.4%
m	634	7.4%
t	631	7.3%
w	492	5.7%
r	10	0.1%
d	8	0.1%
Other values (4)	15	0.2%

Decimal Number

Value	Count	Frequency (%)
1	549	39.6%
2	235	17.0%
3	154	11.1%
4	117	8.4%
5	90	6.5%
6	63	4.5%
7	48	3.5%
9	46	3.3%
0	45	3.2%
8	39	2.8%

Uppercase Letter

Value	Count	Frequency (%)
A	9	32.1%
F	6	21.4%
N	5	17.9%
B	3	10.7%
T	3	10.7%
O	2	7.1%

Space Separator

Value	Count	Frequency (%)
	1962	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	413	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8626	69.6%
Common	3761	30.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	2372	27.5%
i	1749	20.3%
o	1262	14.6%
s	789	9.1%
a	636	7.4%
m	634	7.3%
t	631	7.3%
w	492	5.7%
r	10	0.1%
A	9	0.1%
Other values (10)	42	0.5%

Common

Value	Count	Frequency (%)
	1962	52.2%
1	549	14.6%
&	413	11.0%
2	235	6.2%
3	154	4.1%
4	117	3.1%
5	90	2.4%
6	63	1.7%
7	48	1.3%
9	46	1.2%
Other values (2)	84	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	2372	19.1%
	1962	15.8%
i	1749	14.1%
o	1262	10.2%
s	789	6.4%
a	636	5.1%
m	634	5.1%
t	631	5.1%
1	549	4.4%
w	492	4.0%
Other values (22)	1311	10.6%

release_date
Text

MISSING

Distinct	1063
Distinct (%)	69.8%
Missing	107
Missing (%)	6.6%
Memory size	12.9 KiB

Length

Max length	30
Median length	26
Mean length	21.354139
Min length	5

Characters and Unicode

Total characters	32501
Distinct characters	52
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	724 ?
Unique (%)	47.6%

Sample

1st row	11 January 2019 (USA)
2nd row	11 January 2019 (India)
3rd row	11 January 2019 (USA)
4th row	18 January 2019 (USA)
5th row	11 January 2019 (India)

Value	Count	Frequency (%)
india	1127	18.6%
usa	355	5.9%
september	152	2.5%
october	147	2.4%
may	135	2.2%
august	130	2.1%
july	130	2.1%
march	126	2.1%
january	123	2.0%
april	122	2.0%
Other values (75)	3507	57.9%

Most occurring characters

Value	Count	Frequency (%)
	4532	13.9%
0	2400	7.4%
2	2348	7.2%
a	1782	5.5%
1	1694	5.2%
)	1520	4.7%
(	1520	4.7%
n	1382	4.3%
e	1370	4.2%
i	1272	3.9%
Other values (42)	12681	39.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12473	38.4%
Decimal Number	8699	26.8%
Space Separator	4532	13.9%
Uppercase Letter	3756	11.6%
Close Punctuation	1520	4.7%
Open Punctuation	1520	4.7%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1782	14.3%
n	1382	11.1%
e	1370	11.0%
i	1272	10.2%
d	1130	9.1%
r	1122	9.0%
u	761	6.1%
b	626	5.0%
y	505	4.0%
t	446	3.6%
Other values (11)	2077	16.7%

Uppercase Letter

Value	Count	Frequency (%)
I	1130	30.1%
A	608	16.2%
S	511	13.6%
J	372	9.9%
U	363	9.7%
M	262	7.0%
O	147	3.9%
N	123	3.3%
F	116	3.1%
D	93	2.5%
Other values (7)	31	0.8%

Decimal Number

Value	Count	Frequency (%)
0	2400	27.6%
2	2348	27.0%
1	1694	19.5%
3	378	4.3%
5	342	3.9%
4	331	3.8%
6	331	3.8%
7	320	3.7%
8	287	3.3%
9	268	3.1%

Space Separator

Value	Count	Frequency (%)
	4532	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1520	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1520	100.0%

Dash Punctuation

Value	Count	Frequency (%)
–	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	16272	50.1%
Latin	16229	49.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1782	11.0%
n	1382	8.5%
e	1370	8.4%
i	1272	7.8%
d	1130	7.0%
I	1130	7.0%
r	1122	6.9%
u	761	4.7%
b	626	3.9%
A	608	3.7%
Other values (28)	5046	31.1%

Common

Value	Count	Frequency (%)
	4532	27.9%
0	2400	14.7%
2	2348	14.4%
1	1694	10.4%
)	1520	9.3%
(	1520	9.3%
3	378	2.3%
5	342	2.1%
4	331	2.0%
6	331	2.0%
Other values (4)	876	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32500	> 99.9%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4532	13.9%
0	2400	7.4%
2	2348	7.2%
a	1782	5.5%
1	1694	5.2%
)	1520	4.7%
(	1520	4.7%
n	1382	4.3%
e	1370	4.2%
i	1272	3.9%
Other values (41)	12680	39.0%

Punctuation

Value	Count	Frequency (%)
–	1	100.0%

Auto

Heatmap
Table

	year_of_release	imdb_rating	imdb_votes
year_of_release	1.000	0.126	0.125
imdb_rating	0.126	1.000	0.432
imdb_votes	0.125	0.432	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	title_x	imdb_id	poster_path	wiki_link	title_y	original_title	year_of_release	runtime	genres	imdb_rating	imdb_votes	story	summary	tagline	actors	wins_nominations	release_date
0	Uri: The Surgical Strike	tt8291224	https://upload.wikimedia.org/wikipedia/en/thumb/3/3b/URI_-_New_poster.jpg/220px-URI_-_New_poster.jpg	https://en.wikipedia.org/wiki/Uri:_The_Surgical_Strike	Uri: The Surgical Strike	Uri: The Surgical Strike	2019	138	Action\|Drama\|War	8.4	35112	Divided over five chapters the film chronicles the events of the surgical strike conducted by the Indian military against suspected militants in Pakistan occupied Kashmir. It tells the story of the 11 tumultuous events over which the operation was carried out. Indian army special forces carry out a covert operation to avenge the killing of fellow army men at their base by a terrorist group.	Indian army special forces execute a covert operation avenging the killing of fellow army men at their base by a terrorist group.	NaN	Vicky Kaushal\|Paresh Rawal\|Mohit Raina\|Yami Gautam\|Kirti Kulhari\|Rajit Kapoor\|Ivan Rodrigues\|Manasi Parekh\|Swaroop Sampat\|Riva Arora\|Yogesh Soman\|Fareed Ahmed\|Akashdeep Arora\|Kallol Banerjee\|	4 wins	11 January 2019 (USA)
1	Battalion 609	tt9472208	NaN	https://en.wikipedia.org/wiki/Battalion_609	Battalion 609	Battalion 609	2019	131	War	4.1	73	The story revolves around a cricket match between the Indian Army and the Pakistan Army gone wrong and narrates the tale of the soldiers of Battalion 609 putting up a fight with Taliban. After an attack on Indian Army that is Battalion 609 near the LOC the match which was to be played between India and Pakistan is cancelled. Anwar Hussein a Pakistani soldier who is very fond of cricket and was looking forward to the match throws a cricket bat at the other end of the LOC and calls the Indian army and Indians a bunch of cowards. In anger the Indian army throws a ball towards them. Soon a verbal fight breaks between them which leads to the two teams deciding to play a cricket match. The losing team will take their post eighteen kilometres back.	The story of Battalion 609 revolves around a cricket match between the Indian Army and the Pakistan army gone wrong and narrates the tale of the brave soldiers of Battalion 609 putting up a fight with the mighty Taliban.	NaN	Vicky Ahuja\|Shoaib Ibrahim\|Shrikant Kamat\|Elena Kazan\|Vishwas Kini\|Major Kishore\|Jashn Kohli\|Rammy C. Pandey\|Manish Sharma\|Sparsh Sharma\|Farnaz Shetty\|Vikas Shrivastav\|Chandraprakash Thakur\|Brajesh Tiwari\|	NaN	11 January 2019 (India)
2	The Accidental Prime Minister (film)	tt6986710	https://upload.wikimedia.org/wikipedia/en/thumb/a/a1/The_Accidental_Prime_Minister_film.jpg/220px-The_Accidental_Prime_Minister_film.jpg	https://en.wikipedia.org/wiki/The_Accidental_Prime_Minister_(film)	The Accidental Prime Minister	The Accidental Prime Minister	2019	112	Biography\|Drama	6.1	5549	Based on the memoir by Indian policy analyst Sanjaya Baru The Accidental Prime Minister explores Manmohan Singh's tenure as the Prime Minister of India and the interference of Congress Party in contradicting his decisions during his first tenure. He details how Singh fell a victim to Congress Party's dynastic approach. It highlights how Manmohan Singh was constantly ignored by Congress to maintain turf for Rahul Gandhi the son of Sonia Gandhi and Rajiv Gandhi.	Explores Manmohan Singh's tenure as the Prime Minister of India and the kind of control he had over the cabinet and the country.	NaN	Anupam Kher\|Akshaye Khanna\|Aahana Kumra\|Atul Sharma\|Manoj Anand\|Arjun Mathur\|Suzanne Bernert\|Abdul Quadir Amin\|Bharat Mistri\|Divya Seth\|Anil Rastogi\|Ramesh Bhatkar\|Parrgash Kaur\|Jess Kaur\|	NaN	11 January 2019 (USA)
3	Why Cheat India	tt8108208	https://upload.wikimedia.org/wikipedia/en/thumb/a/a2/Why_Cheat_India_poster.jpg/220px-Why_Cheat_India_poster.jpg	https://en.wikipedia.org/wiki/Why_Cheat_India	Why Cheat India	Why Cheat India	2019	121	Crime\|Drama	6.0	1891	The movie focuses on existing malpractices in country's education system the whole concept of buying your way through education jobs and earnings. Even with an evolving education system the country faces scams like SSC and HSC paper leaks CBSE re-examination Vyaapam etc. The movie tries to shift the attention of people to understand the vulnerability of hardworking and gifted students who get left out.	The movie focuses on existing malpractices in country's education system the whole concept of buying your way through education jobs and earnings. Even with an evolving education system ...	NaN	Emraan Hashmi\|Shreya Dhanwanthary\|Snighdadeep Chatterji\|Navneet Srivastava\|Nanda Yadav\|	NaN	18 January 2019 (USA)
4	Evening Shadows	tt6028796	NaN	https://en.wikipedia.org/wiki/Evening_Shadows	Evening Shadows	Evening Shadows	2018	102	Drama	7.3	280	While gay rights and marriage equality has been embraced by most countries a small town in Southern India lives within a cocoon of traditions and social morality. In such a milieu when a young gay man Kartik comes out to his mother Vasudha her entire world comes crashing down. She has no one to turn to dispel her fears and doubts to understand her loving son's truth. Moreover as a woman trapped within a patriarchal conservative society her biggest challenge is to deal with her dogmatic husband Damodar and the conservative society around her. 'Evening Shadows' is a universal story about a mother-son bonding and its emotional strength to withstand the ravages of time and harsh realities.	Under the 'Evening Shadows' truth often plays hide and seek. Set in South India and Mumbai 'Evening Shadows' is a tender heartwarming story about a mother-son bond that has to withstand the ravages of time distance and truths.	NaN	Mona Ambegaonkar\|Ananth Narayan Mahadevan\|Devansh Doshi\|Arpit Chaudhary\|Yamini Singh\|Abhay Kulkarni\|Veena Nair\|Disha Thakur\|Kala Ramanathan\|Sushant Divgikar\|	17 wins & 1 nomination	11 January 2019 (India)
5	Soni (film)	tt6078866	https://upload.wikimedia.org/wikipedia/en/thumb/d/de/Soni_India_Netflix_Movie_Poster.jpg/220px-Soni_India_Netflix_Movie_Poster.jpg	https://en.wikipedia.org/wiki/Soni_(film)	Soni	Soni	2018	97	Drama	7.2	1595	Soni a young policewoman in Delhi and her superintendent Kalpana have collectively taken on a growing crisis of violent crimes against women. However their alliance suffers a major setback when Soni is transferred out for alleged misconduct on duty.	While fighting crimes against women in Delhi a short-fused policewoman and her level-headed female boss grapple with gender issues in their own lives.	NaN	Geetika Vidya Ohlyan\|Saloni Batra\|Vikas Shukla\|Mohit Chauhan\|Himanshu Kohli\|Gauri Chakraborty\|Mohinder Gujral\|Upasya Goswami\|Simrat Kaur\|Dimple Kaur\|Prateek Pachori\|Kalpana Jha\|Samar\|	3 wins & 5 nominations	18 January 2019 (USA)
6	Fraud Saiyaan	tt5013008	https://upload.wikimedia.org/wikipedia/en/thumb/4/48/Fraud_Saiyyan_film_poster.jpg/220px-Fraud_Saiyyan_film_poster.jpg	https://en.wikipedia.org/wiki/Fraud_Saiyaan	Fraud Saiyaan	Fraud Saiyyan	2019	109	Comedy\|Drama	4.2	504	Fraud Saiyyan is the story of a con artist in North India who convinces women to marry him just so he can live off their money.	Fraud Saiyyan is the story of a con artist in North India who convinces women to marry him just so he can live off their money.	NaN	Arshad Warsi\|Saurabh Shukla\|Flora Saini\|Sara Loren\|Varun Badola\|Deepali Pansare\|Nivedita Tiwari\|Peeyush Suhaney\|Preeti Sood\|Parag Tyagi\|Anangsha Biswas\|Amanda Rosario\|Elli Avrram\|	NaN	18 January 2019 (India)
7	Bombairiya	tt4971258	https://upload.wikimedia.org/wikipedia/en/thumb/b/bb/Bombairiya_poster.jpg/220px-Bombairiya_poster.jpg	https://en.wikipedia.org/wiki/Bombairiya	Bombairiya	Bombairiya	2019	104	Comedy\|Crime\|Drama	4.3	295	It follows the story of Meghna who gets embroiled in a series of events after her phone gets stolen.	It follows the story of Meghna who gets embroiled in a series of events after her phone gets stolen.	They didn't mean to change the world.	Radhika Apte\|Akshay Oberoi\|Siddhanth Kapoor\|Ravi Kishan\|Adil Hussain\|Shilpa Shukla\|Ajinkya Deo\|Amit Sial\|	NaN	18 January 2019 (India)
8	Manikarnika: The Queen of Jhansi	tt6903440	https://upload.wikimedia.org/wikipedia/en/thumb/4/44/Manikarnika_Poster.jpg/220px-Manikarnika_Poster.jpg	https://en.wikipedia.org/wiki/Manikarnika:_The_Queen_of_Jhansi	Manikarnika: The Queen of Jhansi	Manikarnika: The Queen of Jhansi	2019	148	Action\|Biography\|Drama	6.5	7361	Manikarnika born in Varanasi when Dixt a minister in Jhansi princely state sees her he proposes her marriage to Gangadar Rao prince of Jhansi.Sadashiv Rao plots along with British officers to conquer Jhansi as he Is promised a stake in it after conquering Jhansi.After the birth of Lakshmi and Gangadar Rao's son Sadashiv Rao sees his place in fear and poison the holy water during the naming ceremony of the child following which he passes away and also leaves Gangadar Rao on death bed.Gangadar Rao decides to adopt a son and Sadashiv Rao feels guilty of not adopting his son instead a toddler who comes running to Lakshmi Bai.After death of Gangadar Rao.The East India Company decides to conquer on Jhansi as there is no male ruler.But Lakshmi Bai decides to take the throne on herself and fight for Jhansi.	Story of Rani Lakshmibai one of the leading figures of the Indian Rebellion of 1857 and her resistance to the British Rule.	NaN	Kangana Ranaut\|Rimi Sen\|Atul Kulkarni\|Nalneesh Neel\|Danny Denzongpa\|Mishti\|Kulbhushan Kharbanda\|Mohammed Zeeshan Ayyub\|Anil George\|Vikram Kochhar\|Edward Sonnenblick\|Ankita Lokhande\|Richard Keep\|Jishu Sengupta\|	NaN	25 January 2019 (USA)
9	Thackeray (film)	tt7777196	https://upload.wikimedia.org/wikipedia/en/thumb/8/8e/Thackeray_film_poster.jpeg/220px-Thackeray_film_poster.jpeg	https://en.wikipedia.org/wiki/Thackeray_(film)	Thackeray	Thackeray	2019	120	Biography\|Drama	5.1	2301	Balasaheb Thackrey works as a cartoonist for a newspaper. But his editor isn't happy with it as he creates cartoons of politician which affects the sales of his paper.He is asked to try something else but he quits his job and now his only aim is to fight for the rights of Marathi people. He sees that Marathi people don't have any respect and are made to do all odd works. With a few people he starts to help the needy and gains respect. To fight for the rights he also goes against the law and comes in the eye of politics. After entering politics he starts his own party named after Shivaji Maharaj as Shiv Sena. After giving Marathi Manoos his equal rights his only wish is that one day the Chief Minister of Maharashtra should be a Marathi Manoos.	Biographical account of Shiv Sena Supremo Balasaheb Thackeray.	NaN	Nawazuddin Siddiqui\|Amrita Rao\|Abdul Quadir Amin\|Sanjay Narvekar\|Prakash Belawadi\|Vineet Sharma\|Radha Sagar\|Sonamoni Jayant Gadekar\|Satish Alekar\|Micky Makhija\|Nikhil Mahajan\|Resh Lamba\|Jaywant Wadkar\|Laxman Singh Rajput\|	NaN	25 January 2019 (India)

	title_x	imdb_id	poster_path	wiki_link	title_y	original_title	year_of_release	runtime	genres	imdb_rating	imdb_votes	story	summary	tagline	actors	wins_nominations	release_date
1619	Pyaar Zindagi Hai	tt0847758	https://upload.wikimedia.org/wikipedia/en/5/5e/Pyaar_Zindagi_Hai_%282001%29.jpg	https://en.wikipedia.org/wiki/Pyaar_Zindagi_Hai	Pyaar Zindagi Hai	Pyaar Zindagi Hai	2001	157	Drama\|Romance\|Thriller	6.6	39	After the marriage of his daughter Geeta with army Major Pratap Singh widower Hridaynath lives a simple middle-class existence with his unmarried daughter Priya in Dehra Dun. Geeta Pratap and their new-born son Munna pay them a visit and live with them for a few days. They find out that Hridaynath is under constant threat from a loan shark he had borrowed money from to get Geeta married. Shortly after that Geeta and Pratap leave back home for Ranikhet and it then that Hridaynath finds out that his loan has been repaid and that they also have a telephone now - thanks to Pratap. Quite unknown to Hridaynath Pratap has set his eyes on Priya and wants her for himself so much so that he is willing to kill Geeta and get re-married to Priya on the pretext that Munna needs looking after. So to get the ball rolling he kills Geeta informs her dad and sister that she has died of a heart attack and convinces them to leave Dehra Dun and live with him in Ranikhet. This is where he ...	After the marriage of his daughter Geeta with army Major Pratap Singh widower Hridaynath lives a simple middle-class existence with his unmarried daughter Priya in Dehra Dun. Geeta ...	NaN	Rajesh Khanna\|Vikas Kalantri\|Ashima Bhalla\|Asawari Joshi\|Upasna Singh\|Mohnish Bahl\|Shahbaaz Khan\|	NaN	7 September 2001 (India)
1620	Yeh Raaste Hain Pyaar Ke	tt0292740	https://upload.wikimedia.org/wikipedia/en/thumb/3/3f/Yehraaste.jpg/220px-Yehraaste.jpg	https://en.wikipedia.org/wiki/Yeh_Raaste_Hain_Pyaar_Ke	Yeh Raaste Hain Pyaar Ke	Yeh Raaste Hain Pyaar Ke	2001	149	Drama\|Romance	4.0	607	Two con artistes and car thieves Vicky (Ajay Devgan) and Sakshi (Preity Zintar) run afoul of Bhanwarlal (Deep Dhillon) and his mob when they accidentally kill his brother. Bhanwarlal and his other brother (Mayur) both swear to avenge the death of their brother and mistakenly kill Rohit Verma (also Ajay Devgan) who is a look-alike of Vicky. Sakshi thinks that her love is dead and is devastated. Unknown to Sakshi and Bhanwarlal Vicky is still alive and has taken the place of Rohit fooling Rohit's dad Pratap Verma (Vikram Gokhale); Rohit's wife Neha (Madhuri Dixit) little knowing that Pratap Verma already knows that Rohit is dead but for some strange and mysterious reason permits Vicky to continue with the impersonation.	Two con artistes and car thieves Vicky (Ajay Devgan) and Sakshi (Preity Zintar) run afoul of Bhanwarlal (Deep Dhillon) and his mob when they accidentally kill his brother. Bhanwarlal and ...	Love is a journey... not a destination	Ajay Devgn\|Madhuri Dixit\|Preity Zinta\|Vikram Gokhale\|Deep Dhillon\|Smita Jaykar\|Sunny Deol\|Kiran Kumar\|Rajeev Verma\|Jayshree T.\|Asha Sharma\|Lalit Tiwari\|Shammi\|Mayur Verma\|	NaN	10 August 2001 (India)
1621	Tum Bin	tt0290326	https://upload.wikimedia.org/wikipedia/en/thumb/1/16/TumBinFilmPoster.jpg/220px-TumBinFilmPoster.jpg	https://en.wikipedia.org/wiki/Tum_Bin	Tum Bin...: Love Will Find a Way	Tum Bin...: Love Will Find a Way	2001	158	Drama\|Romance	7.5	2879	Shekar and Amar meet at a party where Amar asks Shekar that he should come and work with him in Canada same night Amar accidentally gets killed after he is hit by Shekar 's car Inspector Dmello swears that he won't close the case until he catches the killer Shekar goes to Amar 's house in Canada and confesses his father about Amar 's death but finds that his father has lost all his body senses after Amar 's death he meets Pia Amar's fiance whose also in depression and trying to save Amar's company Shah Industries Shekar and Pia start working with each other and Shekar falls in love with Pia they both bring Shah Industries back on track and meet Abhi for future business same time Abhi falls in love with Pia Pia also starts liking Shekar but decides to choose Abhi Inspector Dmello comes from India to arrest Shekar Shekar tells Pia that Amar died after he hit his car while confessing all this on phone to Pia a speeding car knocks Shekar following which he is admitted in hospital Amar's...	Shekhar accidentally kills his associate Amar and decides to watch over Amar's company and take care of his family and friends. However he falls in love with Amar's fiancé Piya.	Love will find a way	Priyanshu Chatterjee\|Himanshu Malik\|Sandali Sinha\|Raqesh Bapat\|Vikram Gokhale\|Rajesh Khera\|Navneet Nishan\|	6 nominations	13 July 2001 (India)
1622	Yeh Teraa Ghar Yeh Meraa Ghar	tt0298606	https://upload.wikimedia.org/wikipedia/en/thumb/9/9f/Yeh_Teraa_Ghar_Yeh_Meraa_Ghar_2001_film_poster.jpg/220px-Yeh_Teraa_Ghar_Yeh_Meraa_Ghar_2001_film_poster.jpg	https://en.wikipedia.org/wiki/Yeh_Teraa_Ghar_Yeh_Meraa_Ghar	Yeh Teraa Ghar Yeh Meraa Ghar	Yeh Teraa Ghar Yeh Meraa Ghar	2001	175	Comedy\|Drama	5.7	704	In debt; Dayashankar Pandey is forced to go to Bombay to ask his tenants to vacate his house as it is his only means of acquiring money to pay off his loans. But the problem is these people refuse to move forcing Dayashankar to take matters into his own hands thus making it more difficult for the people to move as situations are in there favors.	In debt; Dayashankar Pandey is forced to go to Bombay to ask his tenants to vacate his house as it is his only means of acquiring money to pay off his loans. But the problem is these people...	NaN	Sunil Shetty\|Mahima Chaudhry\|Paresh Rawal\|Saurabh Shukla\|Anjan Srivastav\|Suhasini Mulay\|Asrani\|Master Aditi\|Radhika Menon\|Usha Nadkarni\|Nagma\|Sanjay Narvekar\|Neeraj Vora\|	1 nomination	12 October 2001 (India)
1623	Zubeidaa	tt0255713	https://upload.wikimedia.org/wikipedia/en/thumb/f/fc/Zubeidaa_poster.jpg/220px-Zubeidaa_poster.jpg	https://en.wikipedia.org/wiki/Zubeidaa	Zubeidaa	Zubeidaa	2001	153	Biography\|Drama\|History	6.2	1384	The film begins with Riyaz (Rajat Kapoor) Zubeida's son setting out to research her life and to meet the people who knew her. The story is thus told in the form of memories/reminiscences. Zubeida is a Muslim actress who's career aspirations are thwarted by her film-producer father (Puri) who looks down upon a woman in acting. He arranges her marriage to her friend's son but that breaks up after the birth of her son. Zubeida is now back at her parent's home sad and depressed. Rose (Lilette Dubey) her father's mistress tries to cheer-up Zubeida by taking her out. On one of these outings Zubeida meets Prince Vijayendra (Victor) Singh of Fatehpur (Bajpai). Quite taken with her the Prince woos and marries her. Zubeida now the 2nd wife of a Hindu prince leaves her son behind with her mother (Sikri) and comes to live at Fatehpur. Here she meets the much older Mandira Devi (Rekha) the Prince's first wife learns about the etiquette of being a Rani and of the duties her husband has ...	Zubeidaa an aspiring Muslim actress marries a Hindu prince to become his second wife. Her tumultuous relationship with her husband and her inner demons lead her to a decision which has fatal consequences for them all.	The Story of a Princess	Karisma Kapoor\|Rekha\|Manoj Bajpayee\|Rajit Kapoor\|Surekha Sikri\|Amrish Puri\|Farida Jalal\|Shakti Kapoor\|Lillete Dubey\|Ravi Jhankal\|Smriti Mishra\|S.M. Zaheer\|Harish Patel\|Seema Bhargava\|	3 wins & 13 nominations	19 January 2001 (India)
1624	Tera Mera Saath Rahen	tt0301250	https://upload.wikimedia.org/wikipedia/en/2/2b/Tera_Mera_Saath_Rahen.jpg	https://en.wikipedia.org/wiki/Tera_Mera_Saath_Rahen	Tera Mera Saath Rahen	Tera Mera Saath Rahen	2001	148	Drama	4.9	278	Raj Dixit lives with his younger brother Rahul who is disabled both mentally and physically from birth. Raj is also employed full-time and after work has the responsibility of looking after Rahul which leaves him no time for himself. His beautiful neighbor Suman Gupta is attracted to him but he regards her as a friend only. When Mr. Khanna introduces him to his niece Madhuri both instantly falls in love. The only problem is that Madhuri will only marry Raj if Rahul is institutionalized. Raj agrees to get him admitted in a facility much to Madhuri's delight and together they start to plan their marriage not realizing that things are going to take a turn for the worse.	A man is torn between his handicapped brother and his ladylove where he finds difficult whom to choose.	NaN	Ajay Devgn\|Sonali Bendre\|Namrata Shirodkar\|Prem Chopra\|Hemu Adhikari\|Jayant Sawarkar\|Shubhangi Damle\|Nilesh Diwekar\|Atul Kale\|Abhijeet Satam\|Daman Baggan\|Mangesh Satpute\|Shilpa Chauhan\|Nirmal Soni\|	NaN	7 November 2001 (India)
1625	Yeh Zindagi Ka Safar	tt0298607	https://upload.wikimedia.org/wikipedia/en/thumb/2/21/Yeh_Zindagi_Ka_Safar.jpg/220px-Yeh_Zindagi_Ka_Safar.jpg	https://en.wikipedia.org/wiki/Yeh_Zindagi_Ka_Safar	Yeh Zindagi Ka Safar	Yeh Zindagi Ka Safar	2001	146	Drama	3.0	133	Hindi pop-star Sarina Devan lives a wealthy lifestyle with her widowed businessman father Vivek. She soon achieves considerable success and becomes immensely popular. A struggling newspaper Adarsh Times publishes a story about her being born in an orphanage which is received with shock and surprise by Vivek and he instructs his lawyers to file a defamation suit against the owner known as Dada and a Journalist Jay Bhardwaj. Dada and Jay are apologetic however Sarina finds out that she is not Vivek's biological daughter and sets forth to find her parentage. She enlists Jay's assistant and they travel to Ooty where they meet with a Catholic Priest Joseph who refuses to divulge any information to them. Then she meets with a Nun Sister Namrata and subsequently finds out that she is indeed her biological mother. Expecting to be welcomed into her arms she is shocked when Namrata outright rejects her and tells her to return to back to her life with Vivek. But Sarina ...	A singer finds out she was adopted when the editor of a struggling tabloid publishes the story.	NaN	Ameesha Patel\|Jimmy Sheirgill\|Nafisa Ali\|Gulshan Grover\|Ehsan Khan\|	NaN	16 November 2001 (India)
1626	Sabse Bada Sukh	tt0069204	NaN	https://en.wikipedia.org/wiki/Sabse_Bada_Sukh	Sabse Bada Sukh	Sabse Bada Sukh	2018	\N	Comedy\|Drama	6.1	13	Village born Lalloo re-locates to Bombay and returns a wealthy man. He goes to meet his friend Shankar alias Bhompu and together they meet and share tales mostly about women sex and playboy magazines' pictures. A Bollywood movie director is shooting a film nearby and they go and meet him and his beautiful actress Urvashi. After meeting Urvashi Shankar feigns a racking cough and tells his family that he must go to Bombay and seek medical treatment. Together he and Lalloo take the next train to Bombay to see if they can find the biggest happiness in life.	Village born Lalloo re-locates to Bombay and returns a wealthy man. He goes to meet his friend Shankar alias Bhompu and together they meet and share tales mostly about women sex and ...	NaN	Vijay Arora\|Asrani\|Rajni Bala\|Kumud Damle\|Utpal Dutt\|Meeta Faiyyaz\|Rabi Ghosh\|Tarun Ghosh\|Sanjeev Kumar\|Keshto Mukherjee\|Meena Rai\|	NaN	NaN
1627	Daaka	tt10833860	https://upload.wikimedia.org/wikipedia/en/thumb/4/45/Daaka.jpg/220px-Daaka.jpg	https://en.wikipedia.org/wiki/Daaka	Daaka	Daaka	2019	136	Action	7.4	38	Shinda tries robbing a bank so he can be wealthy enough to marry the love of his life and ends up getting caught. But it turns out that he got caught intentionally and has a much bigger plan in mind involving one of Punjab`s biggest criminals.	Shinda tries robbing a bank so he can be wealthy enough to marry the love of his life. He ends up getting caught but it turns out that he has a much bigger plan in mind involving one of Punjab's biggest criminals.	NaN	Gippy Grewal\|Zareen Khan\|	NaN	1 November 2019 (USA)
1628	Humsafar	tt2403201	https://upload.wikimedia.org/wikipedia/en/thumb/4/41/Flag_of_India.svg/23px-Flag_of_India.svg.png	https://en.wikipedia.org/wiki/Humsafar	Humsafar	Humsafar	2011	35	Drama\|Romance	9.0	2968	Sara and Ashar are childhood friends who share the same status Sara has always had strong emotions for Ashar; while Khirad lives with her mother in a two bedroom apartment. Ashar and Khirad are forced into a marriage due to desperate circumstances. Khirad is a proud and self-sufficient person and does not give importance to wealth and power she only hopes for respect. Ashar believes that he would have married a girl equal to his stature but was forced into a loveless marriage. Slowly their relationship gets stronger and the two find common grounds to begin their marriage. Along with internal struggles between these two strong characters; Sara and those around her plot to create enmity between the newly married couple.	Ashar and Khirad are forced to get married due to desperate circumstances. Sara is Ashar's childhood friend and believed she would marry Ashar. Khirad is caught within this love-triangle with other internal and external forces at play.	NaN	Fawad Khan\|	NaN	TV Series (2011–2012)

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